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Record W3135013299 · doi:10.14740/jcs434

A Rare Case of Anterior Chamber SF6 Gas as a Complication of Pneumatic Retinopexy

2021· article· en· W3135013299 on OpenAlexvenueno aff
Emanuela Interlandi, Francesco Pellegrini, Paul Nderitu, Lorenzo Motta, Erika Mandarà, Daniele Cirone

Bibliographic record

VenueJournal of Current Surgery · 2021
Typearticle
Languageen
FieldMedicine
TopicRetinal and Macular Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineComplicationCannulaParacentesisSurgeryRetinal detachmentSurgical complicationKeratoconusGas bubbleAir bubbleOphthalmologyRetinalBubbleCornea

Abstract

fetched live from OpenAlex

Pneumatic retinopexy is a surgical option for the treatment of retinal detachment. Although it is a generally safe procedure, it can be associated with a number of complications. We report a case of a 52-year-old man with a history of penetrating keratoplasty for keratoconus who underwent sulfur hexafluoride pneumatic retinopexy for a left acute rhegmatogenous macula-on retinal detachment. During the procedure, the patient suffered from a rare complication, a gas bubble that completely filled the anterior chamber during a pressure releasing paracentesis. The complication was successfully managed by extracting the gas with a cannula technique. In this case report, we discuss the current literature, possible etiologies and an approach to successful management for this rare complication. J Curr Surg. 2021;11(1):21-23 doi: https://doi.org/10.14740/jcs434

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.334
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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